On Razor, MXNet is compiled with GPU support as a python package and installed in ''/​share/​apps/​python/​2.7.11/​lib/​python2.7/​site-packages/​mxnet-0.7.0-py2.7.egg/​mxnet/''​. ​ It requires the following modules: gcc-4.9.1, python-2.7.11,​ opencv-2.4.13,​ mkl-16.0.1, and cuda-7.5. ​

On Razor, MXNet is compiled with GPU support as a python package and installed in ''/​share/​apps/​python/​2.7.11/​lib/​python2.7/​site-packages/​mxnet-0.7.0-py2.7.egg/​mxnet/''​. ​ It requires the following modules: gcc-4.9.1, python-2.7.11,​ opencv-2.4.13,​ mkl-16.0.1, and cuda-7.5. ​

-

As an example, below we will run na MXNet training session for MNIST (Mixed National Institute of Standards) hand written digit image database. ​ Because of the precompiled GPU support, the example below requires a node with GPU(s) and cuda drivers installed. ​ GPU nodes are available in the following queues:

+

As an example, below we will run an MXNet training session for MNIST (Mixed National Institute of Standards) hand written digit image database. ​ Because of the precompiled GPU support, the example below requires a node with GPU(s) and cuda drivers installed. ​ GPU nodes are available in the following queues: